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{
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"architectures": [
"BertForSequenceClassification"
],
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"id2label": {
"0": "customer service",
"1": "delay",
"2": "unmet expectations",
"3": "vehicle",
"4": "overpriced",
"5": "cancelation",
"6": "offer disparity",
"7": "hazard",
"8": "coordination",
"9": "no substance",
"10": "conditioning",
"11": "bland delivery",
"12": "guide's attitude",
"13": "time shortage",
"14": "humble route",
"15": "theme divergence",
"16": "unrelated",
"17": "guide's proficiency",
"18": "weather",
"19": "refund",
"20": "weather | advice",
"21": "program change",
"22": "price lift",
"23": "haste",
"24": "bigotry",
"25": "dirty windows",
"26": "other tourists",
"27": "rudeness",
"28": "shallow narration",
"29": "fact misstatement"
},
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"label2id": {
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"bland delivery": 11,
"cancelation": 5,
"conditioning": 10,
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"delay": 1,
"dirty windows": 25,
"fact misstatement": 29,
"guide's attitude": 12,
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"haste": 23,
"hazard": 7,
"humble route": 14,
"no substance": 9,
"offer disparity": 6,
"other tourists": 26,
"overpriced": 4,
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"program change": 21,
"refund": 19,
"rudeness": 27,
"shallow narration": 28,
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"time shortage": 13,
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"vehicle": 3,
"weather": 18,
"weather | advice": 20
},
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"problem_type": "single_label_classification",
"torch_dtype": "float32",
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}
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